• DocumentCode
    2999390
  • Title

    OWL Ontologies and SWRL Rules Applied to Energy Management

  • Author

    Rosselló-Busquet, Ana ; Brewka, Lukasz J. ; Soler, José ; Dittmann, Lars

  • Author_Institution
    Dept. of Photonics Eng., Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    2011
  • fDate
    March 30 2011-April 1 2011
  • Firstpage
    446
  • Lastpage
    450
  • Abstract
    Energy consumption has increased considerably in the last years. How to reduce and make energy consumption more efficient in home environments has become of great interest for researchers. This could be achieved by introducing a Home Energy Management System (HEMS) into user residences. This system might allow the user to control the devices in the home network through an interface and apply energy management strategies to reduce and optimize their consumption. Furthermore, the number of devices and appliances found in users residences is increasing and these devices are usually manufactured by different producers and can use different communication technologies. This paper tackles this problem. A home gateway which integrates different devices with a HEMS based on set of semantic-web tools providing a common control interface and energy management strategies.
  • Keywords
    energy management systems; home automation; knowledge representation languages; local area networks; ontologies (artificial intelligence); semantic Web; OWL ontology; SWRL rule; communication technology; energy consumption; home energy management system; home gateway; home network; semantic Web tool; user residence; Energy management; Engines; Home automation; Knowledge based systems; Logic gates; OWL; Ontologies; Home energy management systems; Home gateway; OSGi; electrical grid; engine rule; ontology; reasoner;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-61284-705-4
  • Electronic_ISBN
    978-0-7695-4376-5
  • Type

    conf

  • DOI
    10.1109/UKSIM.2011.91
  • Filename
    5754262